There are 1 repository under bayesian-models topic.
This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling
Electoral forecasting dashboards
This repository is a collection of publications related to probabilistic programming languages, probabilistic modelling, inference and criticism of probabilistic models.
Tutorials for the synthetic control method for causal inference using PyMC
Bayesian MLM approach to sentiment analysis of r/wallstreetbets and Robinhood usage
Does the mind have statistical models? Even if it does, are these models Bayesian? We explore these questions as a part of my Masters capstone project guided by Prof. Glenn Shafer
Using Bayesian Modelling to predict Premier League football match wins. See Medium blog post.
Learning hyperparameters in Bayesian models by matching moments of prior predictive distributions.
This repository contains the code for the paper "Improving the Performance of Robust Control through Event-Triggered Learning".
RMarkdown source for the "Introduction to Statistics and Data Science Using R" textbook
Phenocam forecasting challenge done as part of the NEFI short course in 2020 https://ecoforecast.org/nefi2022/
A 3D multiplayer driving game - Built with Mapbox, Three.js, and .NET SignalR -Just pure vibes and endless roads to discover
bayesian | hierarchical-models
NeuroBio 316QC: Probabilistic models for neural data: from single neurons to population dynamics
This repository includes the code for the paper "Detection of Prostate Cancer with Multi-Parametric MRI Utilizing the Anatomic Structure of the Prostate".
Supplementary material for Donatelli, A., Mastrantonio, G. & Ciucci, P. Circadian activity of small brown bear populations living in human-dominated landscapes. Sci Rep 12, 15804 (2022). https://doi.org/10.1038/s41598-022-20163-1
Some models for information retrieval in Spanish text corpus of the Cuban social network
Bayesian Data Analysis, Model Comparison, Markov Chain Monte Carlo, JAGS
Bayesian models; analytical statistics; stochastic growth; zero-sightings; pest eradication success; population absence; biosecurity; probability generating functions;
An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments
Portfolio assignments using Bayesian modeling within cognitive science field. 2020 spring semester at Aarhus University
Supplementary material for Donatelli, A., Ćirović, D., Haroldson, M. A., Huber, D., Kindberg, J., Kojola, I., Kusak, J., Mastrantonio, G., Ordiz, A., Reljić, S., Santini, L., van Manen, F. T. & Ciucci, P. The diel niche of brown bears: Constraints on adaptive capacity in human-modified landscapes. Ecography